Real-Time Video Analytics: The Killer App for Edge Computing.

Video analytics will drive a wide range of applications with great potential to impact society. A geographically distributed architecture of public clouds and edges that extend down to the cameras is the only feasible approach to meeting the strict real-time requirements of large-scale live video an...

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Detalles Bibliográficos
Publicado en:Computer (00189162) Vol. 50; no. 10; pp. 58 - 68
Autores principales: Ananthanarayanan, Ganesh, Bahl, Paramvir, Bodik, Peter, Chintalapudi, Krishna, Philipose, Matthai, Ravindranath, Lenin, Sinha, Sudipta
Formato: Artículo
Publicado: IEEE Oct2017
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Video analytics will drive a wide range of applications with great potential to impact society. A geographically distributed architecture of public clouds and edges that extend down to the cameras is the only feasible approach to meeting the strict real-time requirements of large-scale live video analytics.